We performed a comparison between Azure Data Factory and Boomi iPaaS based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"The solution can scale very easily."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"An excellent tool for pipeline orchestration."
"The solution has a lot of connectors, which is quite helpful."
"It is easy to learn and implement."
"Low-code development is the most valuable feature."
"Very effective with its drag-and-drop feature."
"We work on the flow between systems and the most valuable features for that purpose are the mapping of data, interface mapping, and data integration."
"The best features are that it is a cloud-based and a multi-tenant tool."
"AtomSphere Integration will suit those looking for small automation and simple integrations."
"I like the tool's optimization feature."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"The product could provide more ways to import and export data."
"There are limitations when processing more than one GD file."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The initial setup is not very straightforward."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect."
"Boomi AtomSphere Integration should scale up on the migration area."
"Documentation could be improved."
"They are lacking in some streaming features, and messaging features from a listener's point of view."
"The product could be a little bit more user-friendly."
"There are still some areas that need improvement. For example, when updates are going on, the product becomes very slow."
"We encountered stability issues occasionally, one to two times a year."
"There are very few string handling functions and few mathematical functions are available."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Boomi iPaaS is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews. Azure Data Factory is rated 8.0, while Boomi iPaaS is rated 7.8. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Boomi iPaaS writes "Stable product, suitable for limited integrations and lacks flexibility ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Boomi iPaaS is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and Mule Anypoint Platform. See our Azure Data Factory vs. Boomi iPaaS report.
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